Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

With support from the Stone Foundation, the center will advance cutting-edge research and inform policy.

The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.

A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

New type of “state-space model” leverages principles of harmonic oscillators.

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.

New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.

MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.

Ultraviolet light “fingerprints” on cell cultures and machine learning can provide a definitive yes/no contamination assessment within 30 minutes.

Lincoln Laboratory is transitioning tools to the 618th Air Operations Center to streamline global transport logistics.

Using diagrams to represent interactions in multipart systems can provide a faster way to design software improvements.

Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.

TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.

The renowned designer embraces generative AI to preserve and propel her legacy.

A quarter century after its founding, the McGovern Institute reflects on its discoveries in the areas of neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.

A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.

By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.

A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.

The framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.

At the 2025 MIT Energy Conference, energy leaders from around the world discussed how to make green technologies competitive with fossil fuels.

More than 1 million people are contributing their data to Vana’s decentralized network, which started as an MIT class project.

This new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems.

Professor of media technology honored for research in human-computer interaction that is considered both fundamental and influential.

Ana Trišović, who studies the democratization of AI, reflects on a career path that she began as a student downloading free MIT resources in Serbia.

EduFi, founded by an MIT alumna, provides low-interest student loans to families in Pakistan so more can attend college.

A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more.

Researchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone.

Stuart Levine ’97, director of MIT’s BioMicro Center, keeps departmental researchers at the forefront of systems biology.

As artificial intelligence develops, we must ask vital questions about ourselves and our society, Ben Vinson III contends in the 2025 Compton Lecture.

U.S. Air Force engineer and PhD student Randall Pietersen is using AI and next-generation imaging technology to detect pavement damage and unexploded munitions.

New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.

Felice Frankel discusses the implications of generative AI when communicating science visually.

Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.

Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.

The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.

ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.

A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Alumnus is the first major donor to support the building since Stephen A. Schwarzman’s foundational gift.

In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.

Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.

A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.

MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.

The consortium will bring researchers and industry together to focus on impact.